Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUER Daniel | 73 |
| 2 | BANASZEK Alan | 75 |
| 3 | GUARDINI Andrea | 66 |
| 5 | BANASZEK Norbert | 75 |
| 8 | ĐURIĆ Đorđe | 79 |
| 9 | VASILYEV Maksym | 70 |
| 11 | WEBER Philip | 78 |
| 12 | BANASZEK Adrian | 79 |
| 13 | FILUTÁS Viktor | 68 |
| 18 | FILOSI Iuri | 70 |
| 19 | DIMA Emil | 73 |
| 24 | ONESTI Emanuele | 71 |
| 26 | PAWLAK Tobiasz | 81 |
| 28 | DIVNIĆ Jovan | 64 |